Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
HiC-Pro: an optimized and flexible pipeline for Hi-C data processing
20151.4k citationsJean‐Philippe Vert et al.profile →
Kernel Methods in Computational Biology
2004675 citationsJean‐Philippe Vert et al.profile →
Group lasso with overlap and graph lasso
2009509 citationsJean‐Philippe Vert et al.profile →
A general and flexible method for signal extraction from single-cell RNA-seq data
2018402 citationsJean‐Philippe Vert et al.profile →
Consistency of random forests
2015315 citationsErwan Scornet, Jean‐Philippe Vert et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jean‐Philippe Vert
Since
Specialization
Citations
This map shows the geographic impact of Jean‐Philippe Vert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jean‐Philippe Vert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Philippe Vert more than expected).
Fields of papers citing papers by Jean‐Philippe Vert
This network shows the impact of papers produced by Jean‐Philippe Vert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean‐Philippe Vert. The network helps show where Jean‐Philippe Vert may publish in the future.
Co-authorship network of co-authors of Jean‐Philippe Vert
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Philippe Vert.
A scholar is included among the top collaborators of Jean‐Philippe Vert based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Jean‐Philippe Vert. Jean‐Philippe Vert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Blondel, Mathieu, Arthur Mensch, & Jean‐Philippe Vert. (2021). Differentiable Divergences Between Time Series. International Conference on Artificial Intelligence and Statistics. 3853–3861.3 indexed citations
Berthet, Quentin, Mathieu Blondel, Olivier Teboul, et al.. (2020). Learning with Differentiable Pertubed Optimizers. Neural Information Processing Systems. 33. 9508–9519.20 indexed citations
6.
Liu, Jie, Yuanhao Huang, Ritambhara Singh, Jean‐Philippe Vert, & William Stafford Noble. (2019). Jointly Embedding Multiple Single-Cell Omics Measurements. HAL (Le Centre pour la Communication Scientifique Directe).10 indexed citations
7.
Cuturi, Marco, Olivier Teboul, & Jean‐Philippe Vert. (2019). Differentiable Ranking and Sorting using Optimal Transport. Neural Information Processing Systems. 32. 6858–6868.20 indexed citations
Vert, Jean‐Philippe, et al.. (2010). On learning with kernels for unordered pairs. International Conference on Machine Learning. 463–470.12 indexed citations
12.
Cuturi, Marco, Jean‐Philippe Vert, & Alexandre d’Aspremont. (2009). White Functionals for Anomaly Detection in Dynamical Systems. Neural Information Processing Systems. 22. 432–440.1 indexed citations
Vert, Jean‐Philippe, et al.. (2006). Consistency and Convergence Rates of One-Class SVMs and Related Algorithms. Journal of Machine Learning Research. 7(29). 817–854.84 indexed citations
15.
Vert, Jean‐Philippe, et al.. (2005). Consistency of one-class SVM and related algorithms. Neural Information Processing Systems. 18. 1409–1416.3 indexed citations
Vert, Jean‐Philippe & Minoru Kanehisa. (2002). Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA. Neural Information Processing Systems. 15. 1425–1432.56 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.